Data Science Manager

Manager, Data Science

Data & Analytics | Remote

Reports To Director, Data Ops & Analytics

Location

Remote

About the Role

A growing organization is building out its data science function and looking for a Manager, Data Science who is as comfortable building models as they are developing the analysts beneath them. This is a hands-on leadership role: you will define and drive the analytics roadmap, build and ship predictive models into production, and mentor a small team of two direct reports in a high-growth, fast-pivoting environment.

You will operate with significant autonomy, report to the Director of Data Ops & Analytics, and serve as the authoritative voice on data science methodology across the organization. A mature but evolving Snowflake environment (ODS fed from a CRM platform) is your primary data layer, with AWS as the cloud backbone and Snowflake Cortex as an emerging AI/NLP layer you will grow into.

The right person thrives in a smaller organization where scope is broad, priorities shift quickly, and the expectation is to dig in and figure it out.

What You'll Do

Predictive Modeling & Analytics

* Build and deploy ML models into production that directly influence business decisions: lead scoring, conversion forecasting, marketing attribution, fraud detection, and capacity planning.

* Run predictive analytics, prescriptive analytics, and anomaly detection against a near-real-time Snowflake ODS environment.

* Leverage open search / Elasticsearch-style tooling for alerting and pattern detection.

* Explore and extend the team's use of Snowflake Cortex (including Cortex Agents and Cortex Analyst) as the organization matures its AI/NLP layer.

Team Leadership & Mentorship

* Manage and develop two direct reports (Senior Data Analyst and Data Analyst). This is the primary expectation of the role: you teach every model before you build it alone.

* Raise the data science capability of the team through hands-on mentorship, paired work, and knowledge transfer.

* Participate in hiring decisions as the team scales.

Data Governance & Standardization

* Own metric definitions, calculations, and documentation across the organization. Establish one authoritative version of each KPI.

* Serve as an active member of the Data Governance Council to resolve cross-functional metric conflicts between business units.

* Enforce appropriate data access guardrails in collaboration with the Director.

Roadmap & Stakeholder Engagement

* Own and drive the analytics roadmap. Expect roughly half of it to be defined on arrival; the other half is yours to shape.

* Present strategic insights and recommendations to executive leadership monthly, with measurable business impact.

* Partner with the Data Engineering team to prioritize data quality, ETL improvements, and infrastructure needs.

What You Bring

* 7–12 years of data science or analytics experience with increasing responsibility.

* At least 2 years in a role with direct mentorship or management of analysts or data scientists.

* Demonstrated ability to build and ship predictive models (regression, classification, time series) that influenced real business strategy.

* Strong stakeholder management skills and the ability to communicate technical findings to executive audiences.

* Proven track record of working across multiple platforms and problem types. Breadth matters more than depth in a single domain.

* Intellectually curious, self-directed, and comfortable operating in a dynamic environment where roadmap priorities evolve.

Technical Skills

* Expert-level SQL and Python. R is a nice-to-have.

* Snowflake: proficient as a cloud data warehouse and ODS. Familiarity with Snowflake Cortex (Cortex Analyst, Cortex Agents, Cortex Code / Streamlit) is a meaningful plus.

* AWS: cloud services familiarity in the context of data pipelines and infrastructure.

* Open search / Elasticsearch: experience in alerting, search-based analytics, or NLP-adjacent tooling.

* CRM data modeling: sufficient understanding to navigate and interpret CRM-sourced data in Snowflake.

* Familiarity with BI tooling (Qlik or similar).

Nice to Have

* Experience with LLM integration, RAG architecture, or applied generative AI in a production environment.

* Background in Streamlit for lightweight data app delivery.

* Exposure to integration middleware in the context of data access governance.

* Relevant certifications (AWS Certified Machine Learning, Google Professional Data Engineer, or equivalent).

Education

* Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field required.

* Master's degree preferred, or equivalent combination of education and demonstrated experience.

What Success Looks Like

* 3+ predictive models shipped to production within the first 12 months that demonstrably influence business decisions.

* 10–15% improvement in conversion rates, marketing ROI, or operational efficiency gains documented quarterly.

* 90%+ of committed analytical projects delivered on time and within scope.

* Standardized metric definitions adopted across business units, reducing cross-platform reporting discrepancies.

Why Join

* Broad scope from day one: you own the data science roadmap, not a slice of someone else's.

* Direct access to leadership: daily standups, monthly exec presentations, and a director who wants you to drive, not just execute.

* A team that takes mentorship seriously.

* A stable, growing business in a specialized niche with a strong operational data foundation ready for sophisticated modeling.

* Recognized as a Best Place to Work.

Interested? Apply or reach out directly.